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Clean and Validate Your Data Using Pandera
Stop wasting time on dirty data! Learn how to clean it up in minutes with Pandera.
Published on: May 29, 2025 | Source:
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Using Quantized Models with Ollama for Application Development
Quantization is a frequently used strategy applied to production machine learning models, particularly large and complex ones, to make them lightweight by reducing the numerical precision of the modelβs parameters (weights) β usually from 32-bit floating-point to lower representations like 8-bit integers.
Published on: May 29, 2025 | Source:Multi-Agent Communication with the A2A PythonΒ SDK
The Agent Card helps discover agents, but how does communication between agents actually work in practice? The post Multi-Agent Communication with the A2A PythonSDK appeared first on Towards Data Science.
Published on: May 28, 2025 | Source:JAX: Is This Googleβs NumPyΒ killer?
Auto differentiation and JIT compilation make a compelling case. The post JAX: Is This Googleβs NumPykiller? appeared first on Towards Data Science.
Published on: May 28, 2025 | Source:Detecting Malicious URLs Using LSTM and Googleβs BERT Models
A progressive approach to implementing AI-powered webpage detection applications into production The post Detecting Malicious URLs Using LSTM and Googleβs BERT Models appeared first on Towards Data Science.
Published on: May 28, 2025 | Source:Tree of Thought Prompting: Teaching LLMs to Think Slowly
Playing Minesweeper with Augmented Reasoning The post Tree of Thought Prompting: Teaching LLMs to Think Slowly appeared first on Towards Data Science.
Published on: May 28, 2025 | Source:Tokenizers in Language Models
This post is divided into five parts; they are: β’ Naive Tokenization β’ Stemming and Lemmatization β’ Byte-Pair Encoding (BPE) β’ WordPiece β’ SentencePiece and Unigram The simplest form of tokenization splits text into tokens based on whitespace.
Published on: May 28, 2025 | Source:10 Python Libraries That Speed Up Model Development
Machine learning model development often feels like navigating a maze, exciting but filled with twists, dead ends, and time sinks.
Published on: May 28, 2025 | Source:The Art of Writing Readable Python Functions
If your functions need comments to be understood, itβs probably time for a rewrite. Learn the key habits that make Python functions readable by design.
Published on: May 28, 2025 | Source:32 MCP Servers You Need To Check Out Now
Explore list of top MCP servers that enable seamless integration of LLMs with tools like databases, APIs, communication platforms, and more, helping you automate workflows and enhance AI applications.
Published on: May 28, 2025 | Source:Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models
Explore how Bayesian Optimization outperforms Grid Search in efficiency and performance over binary classification tasks. The post Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models appeared first on Towards Data Science.
Published on: May 27, 2025 | Source:How Microsoft Power BI Elevated My Data Analysis and Visualization Workflow
Explaining useful features every data analyst needs The post How Microsoft Power BI Elevated My Data Analysis and Visualization Workflow appeared first on Towards Data Science.
Published on: May 27, 2025 | Source:Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python
Inspired by AlphaGoβs Move 37 β learn how agents explore, exploit, and win The post Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python appeared first on Towards Data Science.
Published on: May 27, 2025 | Source:Selecting the Right Feature Engineering Strategy: A Decision Tree Approach
In machine learning model development, feature engineering plays a crucial role since real-world data often comes with noise, missing values, skewed distributions, and even inconsistent formats.
Published on: May 27, 2025 | Source:Why Regularization Isnβt Enough: A Better Way to Train Neural Networks with Two Objectives
Why splitting your objectives and your model might be the key to better performance and clearer trade-offs in deep learning. The post Why Regularization Isnβt Enough: A Better Way to Train Neural Networks with Two Objectives appeared first on Towards Data Science.
Published on: May 27, 2025 | Source:How to Write Efficient Python Code Even If Youβre a Beginner
You donβt need to be a Python pro to write fast, clean code. Just a few smart coding habits can go a long way.
Published on: May 27, 2025 | Source:Make Your Company Data Driven with Redash
Develop a data system that every business user wants to use.
Published on: May 27, 2025 | Source:10 Python One-Liners for Working with Dates and Times
These ten compact and pythonic shortcuts will boost your time data analysis and processing workflows. See how and why.
Published on: May 27, 2025 | Source:Code Agents: The Future of AgenticΒ AI
HuggingFace smolagents framework inaction The post Code Agents: The Future of AgenticAI appeared first on Towards Data Science.
Published on: May 27, 2025 | Source:How to Reduce Your Power BI Model Size by 90%
Have you ever wondered what makes Power BI so fast and powerful when it comes to performance? Learn on a real-life example about data model optimization and general rules for reducing data model The post How to Reduce Your Power BI Model Size by 90% appeared first on Towards Data Science.
Published on: May 26, 2025 | Source:The Best AI Books & Courses for Getting aΒ Job
A comprehensive guide to the books and courses that helped me learn AI The post The Best AI Books & Courses for Getting aJob appeared first on Towards Data Science.
Published on: May 26, 2025 | Source:How to Generate Synthetic Data: A Comprehensive Guide Using Bayesian Sampling and Univariate Distributions
Data makes the engine run in many organisations. But what if the number of observations is too low or there is only expert knowledge? I will demonstrate how to generate synthetic data with applications in predictive maintenance. The post How to Generate Synthetic Data: A Comprehensive Guide Using Bayesian Sampling and Univariate Distributions appeared first on Towards Data Science.
Published on: May 26, 2025 | Source:Understanding Matrices | Part 1: Matrix-Vector Multiplication
The physical meaning of multiplying a matrix by a vector, and how it works on several special matrices. The post Understanding Matrices | Part 1: Matrix-Vector Multiplication appeared first on Towards Data Science.
Published on: May 26, 2025 | Source:5 Statistical Concepts You Need to Know Before Your Next Data Science Interview
These common, basic statistics and machine learning concepts are crucial for landing a data scientist role The post 5 Statistical Concepts You Need to Know Before Your Next Data Science Interview appeared first on Towards Data Science.
Published on: May 26, 2025 | Source:Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO
A beginner-friendly guide to PPO and GRPO: simplifying policy optimization in reinforcement learning The post Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO appeared first on Towards Data Science.
Published on: May 26, 2025 | Source:Warp: The Intelligent AI-Powered Terminal
Effortlessly run terminal commands, enhance projects with AI, collaborate with your team, and access features quickly, all through a sleek, modern interface designed for efficiency.
Published on: May 26, 2025 | Source:How to Market Yourself as a Data Professional on LinkedIn
Want recruiters and collaborators to find you? Fix your LinkedIn, even if you hate self-promotion.
Published on: May 26, 2025 | Source:Using NotebookLM as Your Machine Learning Study Guide
Learning machine learning can be challenging.
Published on: May 26, 2025 | Source:10 YouTube Channels Every Aspiring Data Scientist Should Follow in 2025
Want to be a data scientist in 2025? These 10 YouTube channels teach important skills, from Python basics to advanced machine learning.
Published on: May 26, 2025 | Source:Encoders and Decoders in Transformer Models
This article is divided into three parts; they are: β’ Full Transformer Models: Encoder-Decoder Architecture β’ Encoder-Only Models β’ Decoder-Only Models The original transformer architecture, introduced in "Attention is All You Need," combines an encoder and decoder specifically designed for sequence-to-sequence (seq2seq) tasks like machine translation.
Published on: May 24, 2025 | Source:Prototyping Gradient Descent in Machine Learning
Mathematical theorem and credit transaction prediction using Stochastic / Batch GD The post Prototyping Gradient Descent in Machine Learning appeared first on Towards Data Science.
Published on: May 24, 2025 | Source:Estimating Product-Level Price Elasticities Using Hierarchical Bayesian
Using one model to personalize ML results The post Estimating Product-Level Price Elasticities Using Hierarchical Bayesian appeared first on Towards Data Science.
Published on: May 23, 2025 | Source:New to LLMs? StartΒ HereΒ
A guide to Agents, LLMs, RAG, Fine-tuning, LangChain with practical examples to start building The post New to LLMs? StartHere appeared first on Towards Data Science.
Published on: May 23, 2025 | Source:Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype
Improve static analysis and run-time validation with full generic specification The post Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype appeared first on Towards Data Science.
Published on: May 23, 2025 | Source:How to Evaluate LLMs and Algorithms β The Right Way
Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editorsβ picks, deep dives, community news, and more. Subscribe today! All the hard work it takes to integratelarge language modelsand powerful algorithms into your workflows can go to waste if the outputs you see donβt live up to expectations. [β¦] The post How to Evaluate LLMs and Algorithms β The Right Way appeared...
Published on: May 23, 2025 | Source: